A5067003521- Meteorological Phenomena and Simulations
- Atmospheric chemistry and aerosols
- Climate variability and models
- Atmospheric aerosols and clouds
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and Land Use
- Air Quality and Health Impacts
- Atmospheric Ozone and Climate
- Environmental Changes in China
- Chinese history and philosophy
- Wind and Air Flow Studies
- Martial Arts: Techniques, Psychology, and Education
- Sport and Mega-Event Impacts
- Environmental and Agricultural Sciences
- Sports, Gender, and Society
- Precipitation Measurement and Analysis
- Cryospheric studies and observations
- Winter Sports Injuries and Performance
- Air Quality Monitoring and Forecasting
- Plant Water Relations and Carbon Dynamics
- Tropical and Extratropical Cyclones Research
- Forest, Soil, and Plant Ecology in China
- Urban Heat Island Mitigation
- Hydrology and Watershed Management Studies
- Oceanographic and Atmospheric Processes
University of Oklahoma
2016-2025
Sun Yat-sen University
2022-2025
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2022-2025
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2022-2025
Cangzhou Normal University
2021
China Railway Construction Machinery Research & Design Institute
2020
China Meteorological Administration
2018
Nanjing University of Information Science and Technology
2013-2018
Chongqing University
2018
New Jersey Institute of Technology
2018
Abstract Accurate depiction of meteorological conditions, especially within the planetary boundary layer (PBL), is important for air pollution modeling, and PBL parameterization schemes play a critical role in simulating layer. This study examines sensitivity performance Weather Research Forecast (WRF) model to use three different [Mellor–Yamada–Janjic (MYJ), Yonsei University (YSU), asymmetric convective model, version 2 (ACM2)]. Comparison surface observations with 92 sets daily, 36-h...
In previous studies, the Yonsei University (YSU) planetary boundary layer (PBL) scheme implemented in Weather Research and Forecasting (WRF) model was reported to perform less well at night, while performing better during day. Compared observations, predicted nocturnal low‐level jets (LLJs) were typically weaker higher. Also, WRF with Chemistry (WRF/Chem) YSU sometimes overestimate near‐surface ozone (O 3 ) concentration nighttime. The updates incorporated version 3.4.1, include...
Abstract The Beijing‐Tianjin‐Hebei (BTH) region experiences frequent heavy haze pollution in fall and winter. Pollution was often exacerbated by unfavorable atmospheric boundary layer (BL) conditions. topography this impacts the BL processes complex ways. Such implications on air quality are not yet clearly understood. all four seasons BTH thus investigated study using idealized simulations with WRF‐Chem model. Results suggest that seasonal variation of thermal conditions synoptic patterns...
Global soil carbon (C) stocks are expected to decline with warming, and changes in microbial processes key this projection. However, warming responses of critical parameters such as use efficiency (CUE) biomass turnover (rB) not well understood. Here, we determine these using a probabilistic inversion approach that integrates microbial-enzyme model 22 years cycling measurements at Harvard Forest. We find increasing temperature reduces CUE but increases rB, two decades the sensitivities rB....
Abstract. Severe ozone (O3) pollution episodes plague a few regions in eastern China at certain times of the year, e.g., Yangtze River Delta (YRD). However, formation mechanisms, including meteorological factors, contributing to these severe events remain elusive. A summer smog stretched over YRD region from 22 25 August 2016. This event displayed hourly surface O3 concentrations that exceeded 300 µg m−3 on Nanjing, an urban area western YRD. The weather pattern during this period was...
Abstract The variability of the lower tropospheric temperature inversion (TI) across China remains poorly understood. Using seven years’ worth high-resolution radiosonde measurements at 120 sites, we compile climatology TI in terms frequency, intensity, and depth during period from 2011 to 2017. generally exhibits strong seasonal geographic dependencies. Particularly, frequency is found be high winter low summer, likely due aerosol radiative effect winter. surface-based (SBI) a “west low,...
Abstract Meteorological model errors caused by imperfect parameterizations generally cannot be overcome simply optimizing initial and boundary conditions. However, advanced data assimilation methods are capable of extracting significant information about parameterization behavior from the observations, thus can used to estimate parameters while they adjust state. Such should identifiable, meaning that must have a detectible impact on observable aspects behavior, their individual impacts...
Abstract Previous analysis of Oklahoma City (OKC), Oklahoma, temperature data indicated that urban heat islands (UHIs) frequently formed at night and the observed UHI intensity was variable (1°–4°C). The current study focuses on identifying meteorological phenomena contributed to variability nocturnal in OKC during July 2003. Two episodes, one with a strong signature weak signature, were studied detail using observations along simulations Weather Research Forecasting model. Mechanical mixing...
Abstract When assessed using the difference between urban and rural air temperatures, heat island (UHI) is most prominent during nighttime. Typically, nocturnal UHI intensity maintained throughout night. The over Dallas–Fort Worth (DFW), Texas, however, experienced frequent “collapses” (sudden decreases) around midnight August 2011, while region was experiencing an intense wave. Observational modeling studies were conducted to understand this unique phenomenon. Sea-breeze passage found be...
The lowest model level is the interface of energy and mass exchanging between surface planetary boundary layer (PBL). Previous studies mostly examined role height (z1) in simulating continental PBL processes. impact z1 on marine processes (e.g., sea fog), however, remains unclear. present study explores sensitivity Weather Research Forecasting (WRF) with Yonsei University (YSU) scheme to for an advection fog event occurred 27 March 2012 over Yellow Sea. Seven experiments various (28, 22, 14,...
Abstract A significant challenge with dynamical downscaling of climate simulations is the ability to accurately represent convection and precipitation. The use convection‐permitting resolutions avoids cumulus parameterization, which known be a large source uncertainty. regional model (RCM) based on Weather Research Forecasting configured 4 km grid spacing applied U.S. Great Plains, region characterized by many forms weather extremes. RCM evaluated running it in hindcast mode over central for...
Abstract The atmospheric boundary layer height is a basic parameter in describing the structure of lower atmosphere. Because their high temporal resolution, ground‐based lidar data are widely used to determine daytime convective (CBLH), but currently available retrieval methods have advantages and drawbacks. In this paper, four retrieving CBLH (i.e., gradient method, idealized backscatter two forms wavelet covariance transform method) from normalized relative evaluated, using artificial...
This study explores the treatment of model error and uncertainties through simultaneous state parameter estimation (SSPE) with an ensemble Kalman filter (EnKF) in simulation a 2006 air pollution event over greater Houston area during Second Texas Air Quality Study (TexAQS‐II). Two parameters atmospheric boundary layer parameterization associated large sensitivities are combined standard prognostic variables augmented vector to be continuously updated assimilation wind profiler observations....
Abstract As part of the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment, Center for Analysis and Prediction Storms produced FV3-LAM real-time ensemble forecasts to study its use in convection-allowing severe weather forecasting problem inform optimization upcoming operational Rapid Refresh Forecast System. We evaluate deterministic terms surrogate reports (SSRs) probability (SSPFs) created from simulated 0–3- 2–5-km updraft helicity (UH), 10-m wind speed. Forecasts are...
Abstract In this study, we examine the spatial pattern of surface amplification factor (SAF). SAF corresponds to element energy gain kernel derived in Part I three-part series papers, representing rate input perturbations at surface. At a given location, amplifies an equal regardless their origins. Therefore, variation can provide insight into variability climate sensitivity. The global mean is about 2.6, and its closely resembles cloud field. values range from 4 over western equatorial...